基于过程分解的飞轮储能-火电互助式一次调频分析

doi:10.19799/j.cnki.2095-4239.2023.0138

储能科学与技术 ›› 2023, Vol. 12 ›› Issue (9): 2854-2861.doi: 10.19799/j.cnki.2095-4239.2023.0138

基于过程分解的飞轮储能-火电互助式一次调频分析

李展(), 刘磊, 杨振勇, 尚勇, 尤默, 高爱国, 康静秋

华北电力科学研究院有限责任公司，北京 100045

收稿日期:2023-03-15 修回日期:2023-05-31 出版日期:2023-09-05 发布日期:2023-09-16
通讯作者: 李展 E-mail:huadianlizhan@163.com
作者简介:李展（1990—），男，硕士，工程师，研究方向为飞轮储能-火电联合调频，E-mail：huadianlizhan@163.com。
基金资助:
华北电力科学研究院有限责任公司自有基金项目(KJZ2022023)

Flywheel energy storage-thermal power mutual aid primary frequency modulation analysis based on process decomposition

Zhan LI(), Lei LIU, Zhenyong YANG, Yong SHANG, Mo YO, Aiguo GAO, Jingqiu KANG

North China Electric Power Research Institute Co. Ltd. , Beijing 100045, China

Received:2023-03-15 Revised:2023-05-31 Online:2023-09-05 Published:2023-09-16
Contact: Zhan LI E-mail:huadianlizhan@163.com

摘要/Abstract

摘要：

为研究飞轮储能-火电互助式一次调频，建立含有飞轮储能系统的火电机组一次调频模型，并使用火电机组一次调频实际动作数据对模型进行了验证，提出在电网小频差动作时可只对飞轮储能进行自适应虚拟下垂惯性控制，这不仅可以很好地跟踪理论一次调频量，且可更好地维持飞轮荷电状态（SOC值）在合理的范围内。当电网大频差发生、小频差动作时间较长或频繁地同向一次调频动作时，可使火电承担较高的基础调节量，而飞轮储能只承担较小的调节波动量，这既可减少火电机组调门的频繁动作，也可对飞轮进行反哺调节，帮助飞轮SOC值更快地恢复。

关键词: 互助式, 一次调频模型, 自适应虚拟下垂惯性控制, 反哺调节

Abstract:

This study investigates the mutual primary frequency modulation between flywheel energy storage and thermal power systems. The frequency modulation model for a thermal power unit with a flywheel energy storage system is established, and the model is verified using real-world frequency modulation operational data. The study proposes that during operations with small frequency differences, only the flywheel can perform adaptive virtual droop control, which allows the flywheel to track the theoretical frequency modulation while maintaining the state of charge of the flywheel within a reasonable range. Furthermore, under conditions involving long duration or frequent frequency modulation in the same direction with large or small frequency differences, the thermal power unit can handle a large amount of basic regulation, while the flywheel is responsible for managing minor fluctuation. Additionally, the flywheel system can provide feedback and adjustments to facilitate fast self-recovery.

Key words: mutual aid, primary frequency modulation, adaptive virtual droop control, regurgitation regulation

中图分类号:

TM 921

李展, 刘磊, 杨振勇, 尚勇, 尤默, 高爱国, 康静秋. 基于过程分解的飞轮储能-火电互助式一次调频分析[J]. 储能科学与技术, 2023, 12(9): 2854-2861.

Zhan LI, Lei LIU, Zhenyong YANG, Yong SHANG, Mo YO, Aiguo GAO, Jingqiu KANG. Flywheel energy storage-thermal power mutual aid primary frequency modulation analysis based on process decomposition[J]. Energy Storage Science and Technology, 2023, 12(9): 2854-2861.

图/表 14

图1

图2

图3

表1

火电机组参数"

参数	数值
机组额定功率/MW	1000
额定压力/MPa	29.3
高压缸功率系数 $F H P$	0.3
中压缸功率系数 $F I P$	0.3
低压缸功率系数 $F L P$	0.4
高压缸容积时间常数 $T C H$ /s	0.3
中压缸容积时间常数 $T R H$ /s	10
低压缸容积时间常数 $T C O$ /s	0.5
发电机惯性常数 $H$	2
发电机负荷阻尼系数 $D$	12

表1

表2

飞轮储能系统参数"

参数	数值
飞轮额定容量/MW	7
飞轮额定功率充、放电时间/s	30
飞轮电机定子电阻 $R s / Ω$	0.097
永磁磁链 $ψ f$ /Wb	0.1286
黏滞摩擦系数 $B$ /( $N ∙ m ∙ s$ )	1100
定子电感 $L$ /H	2.085
极对数 $n p$	2
飞轮转动惯量 $J$ /( $k g ∙ m 2$ )	24.2

表2

图4

图5

图6

图7

图8

图 9

图 10

图11

图12

参考文献 7

1	罗耀东, 田立军, 王垚, 等. 飞轮储能参与电网一次调频协调控制策略与容量优化配置[J]. 电力系统自动化, 2022, 46(9): 71-82.
	LUO Y D, TIAN L J, WANG Y, et al. Coordinated control strategy and optimal capacity configuration for flywheel energy storage participating in primary frequency regulation of power grid[J]. Automation of Electric Power Systems, 2022, 46(9): 71-82.
2	张汝峰. 飞轮储能辅助火电机组调频技术研究[D]. 北京: 华北电力大学, 2021.
	ZHANG R F. Research on frequency modulation technology of flywheel energy storage assisted thermal power unit[D].Beijing: North China Electric Power University, 2021.
3	何林轩, 李文艳. 飞轮储能辅助火电机组一次调频过程仿真分析[J]. 储能科学与技术, 2021, 10(5): 1679-1686.
	HE L X, LI W Y. Simulation of the primary frequency modulation process of thermal power units with the auxiliary of flywheel energy storage[J]. Energy Storage Science and Technology, 2021, 10(5): 1679-1686.
4	刘宇宸. 飞轮-蓄电池混合储能系统调频特性研究[D]. 北京: 华北电力大学,2021.
	LIU Y C. Study on frequency modulation characteristics of flywheel-battery hybrid energy storage system[D].Beijing: North China Electric Power University,2021.
5	秦昊, 秦立军, 白雪辰, 等. 辅助抽水蓄能调频的飞轮控制策略[J]. 储能科学与技术, 2022, 11(12): 3915-3925.
	QIN H, QIN L J, BAI X C, et al. Flywheel control strategy for frequency modulation of auxiliary pumped storage[J]. Energy Storage Science and Technology, 2022, 11(12): 3915-3925.
6	洪烽, 梁璐, 逄亚蕾, 等. 基于自适应协同下垂的飞轮储能联合火电机组一次调频控制策略[J]. 热力发电, 2023, 52(1): 36-44.
	HONG F, LIANG L, PANG Y L, et al. Primary frequency modulation control strategy of flywheel energy storage combined thermal power unit based on adaptive cooperative droop[J]. Thermal Power Generation, 2023, 52(1): 36-44.
7	隋云任, 梁双印, 黄登超, 等. 飞轮储能辅助燃煤机组调频动态过程仿真研究[J]. 中国电机工程学报, 2020, 40(8): 2597-2606.
	SUI Y R, LIANG S Y, HUANG D C, et al. Simulation study on frequency modulation process of coal burning plants with auxiliary of flywheel energy storage[J]. Proceedings of the CSEE, 2020, 40(8): 2597-2606.

[1]	许庆祥, 滕伟, 武鑫, 柳亦兵, 梁双印. 平抑风电功率波动的飞轮储能系统容量配置方法[J]. 储能科学与技术, 2022, 11(12): 3906-3914.
[2]	韩健民, 薛飞宇, 梁双印, 乔天舒. 模糊控制优化下的混合储能系统辅助燃煤机组调频仿真[J]. 储能科学与技术, 2022, 11(7): 2188-2196.
[3]	王俊伟, 任艺, 郭尊, 张岩. 基于综合需求响应和奖惩阶梯型碳交易的综合能源系统优化调度[J]. 储能科学与技术, 2022, 11(7): 2177-2187.
[4]	刘连德, 何江, 周家旭, 李翠萍, 李凯强, 朱星旭, 严干贵, 李军徽. 含高比例风光发电的电力系统中抽蓄电站的优化控制策略[J]. 储能科学与技术, 2022, 11(7): 2197-2205.

基于过程分解的飞轮储能-火电互助式一次调频分析

Flywheel energy storage-thermal power mutual aid primary frequency modulation analysis based on process decomposition

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 7

相关文章 4

编辑推荐

Metrics

本文评价